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Field
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infection models to identify and characterize compounds active against these priority pathogens. Main duties and responsibilities Design and build a microscopy-based phenotypic screening pipeline (live
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Requisition Id 17070 Overview: We are seeking a Postdoctoral Research Associate who will use multiscale modeling and simulation to develop probabilistic lifting frameworks for high-temperature
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Argonne National Laboratory is seeking a postdoctoral researcher with expertise in life-cycle analysis, industrial process modeling, and critical minerals and materials assessment. The appointee
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initial problem specification, data gathering and analysis, model creation, and implementation Strong understanding of artificial intelligence applications and methodologies, such as working knowledge
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Chemistry to conduct fundamental and applied research at the intersection of machine learning and computational chemistry. In this role, you will develop physics-informed, symmetry-aware models
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) and contribute to LU-PCG’s research under the U.S. Department of Energy’s (DOE) GENESIS Mission. Research will involve developing fast neural surrogate models, state estimators/virtual sensors, multi
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mouse models. Experience studying the hypothalamus or neural regulation of metabolism. Experience with neural tracing techniques. Experience performing stereotaxic surgery in mice. Excellent
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cell biological and biophysical characterization of various alpha-synuclein aggregates/oligomers found in vivo (Mouse models and human tissue) that can induce neuropathology/neurodegeneration. 1
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fundamental algorithms for producing policies for rich goal structures in MDPs (e.g. risk, temporal logic, or probabilistic objectives), and modelling robot decision problems using MDPs (e.g. human-robot
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. Research activities may include common- and rare-variant association studies, survival and longitudinal analysis, multi-state disease modeling, polygenic risk prediction, gene-environment interaction, cross